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The kinetic parameters were obtained by fitting the raw data using a first-order aggregation kinetics and are shown in Fig. S5.
The kinetic and equilibrium parameters (K D ) values were calculated by fitting the raw sensorgram with the 1 1 drifting baseline-binding model by using Biacore T100 evaluation software.
The inactivation time constants were obtained by fitting the raw data current tracings from Knock et al., [51] and the simulated time tracings showed dynamics similar to the experimental time tracings (Figure 7C).
The FWHM value is estimated by fitting the raw data with a Gaussian curve.
We further analyzed our signals by fitting the raw data as shown in Figure 4 a,b, right insets.
The plateau values were calculated by fitting the raw data using the sigmoid function described below in Microcal Origin 8.6 Software.
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The left lower panels show the residual fringes after fitting the raw data with modeled curves.
For each cognitive measure we used the raw difference scores adjusted for baseline by fitting the baseline test result as a linear covariate.
The change in reflectance intensity was determined as follows: (1) First, a 25-point moving average was applied to the raw data; (2) the baseline curve was established by fitting the background data to a fourth-degree polynomial.
The structural equation model fitted the raw data well (χ = 9.20, df = 8, p = 0.34).
Maximum slopes of GFP expression versus time were determined by fitting a sigmoidal curve to the raw data and taking the derivative giving the expression rate.
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by aligning the raw
by tracing the raw
by mapping the raw
by fitting the macroscopic
by combining the raw
by fitting the measured
by washing the raw
by developing the raw
by emphasising the raw
by fitting the new
by fitting the corresponding
by converting the raw
by examining the raw
by importing the raw
by heating the raw
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